CE156-7-AU-CO:
An Approachable Introduction to Programming
2023/24
Computer Science and Electronic Engineering (School of)
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 05 October 2023
Friday 15 December 2023
15
14 August 2023
Requisites for this module
(none)
(none)
(none)
(none)
(none)
MSC G30512 Applied Data Science,
MSC G41212 Artificial Intelligence and its Applications,
MSC G30612 Data Science and its Applications
Students are not permitted to undertake this module if they have taken CE151 with the School on a previous undergraduate course. Students in this position should contact the School Office for advice.
The module will develop coding skills to the learners, with the assumption that no prior coding skills have been developed. The language used will be 'Python', which is well known as an introductory programming language, with the ability to learn starting with a simple single line of code approach.
As coding skills develop, the learners will be able to review and debug simple code, as a route to developing their own code, through the assembling of coding blocks. Each learner will have the opportunity to experience code relevant to their own degree course, and to develop code that is useful within their degree context. This personalised approach will be managed through staged coursework development.
Students are not permitted to undertake this module as part of a Special Syllabus request as these are bespoke modules with content that is created for specific pathways.
The aim of the module is to develop coding skill in the learners, culminating in their ability to assemble code blocks into useful resources relevant to their degree course.
By the end of this module, students will be expected to be able to:
- Generate pseudo code to represent the solution to a given problem.
- Efficiently debug python code to generate working code.
- Critically evaluate good and bad programming practices.
- Demonstrate an understanding of a range of python code elements such as constants, variables, functions, loops.
- Produce working code by identifying and assembling existing code blocks to provide a solution to a given problem.
The module will be structured as follows;
1. What is code?
2. Command line programming
3. Key code elements
4. Analysing code and debugging
5. Generating pseudo code
6. Going from pseudo code to code building blocks
In each element use cases will be used to demonstrate the use of code within the learners degree course.
Lectures, online learning, labs.
In regards to the dual mode delivery that the University is preparing for, the module will adhere to the guidance (quoted below). A virtual laboratory is being prepared, where student will be able to log in from the homes and be able to work as if they were working on the laboratory computer. The basic programming language to be used in labs will be Python.
This module does not appear to have a published bibliography for this year.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Coursework |
Progress Test |
|
20% |
| Coursework |
Coding Project |
|
80% |
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
Dr Michael Sanderson, email: sands@essex.ac.uk.
Dr Mike Sanderson
School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770
Yes
No
Yes
Dr Colin Johnson
University of Nottingham
Dr MARJORY CRISTIANY Da COSTA ABREU
Sheffield Hallam University
Senior Lecturer
Available via Moodle
Of 141 hours, 124 (87.9%) hours available to students:
16 hours not recorded due to service coverage or fault;
1 hours not recorded due to opt-out by lecturer(s), module, or event type.
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